Data Discovery and Privacy sensitive NLP - Legit Software

Meetup topic

In this technical meetup, we will discuss the unique technical and data challenges in developing and maintaining models for identification of personal data across enterprise structured and unstructured data sources. We will specifically focus on the challenges in training ML models when the objective is to identify personal data – which by definition are not readily and legally available. We will talk about heterogeneous systems and how to create a learning context for tables and bullet point documents. We will also address the unique challenges in the NLP landscape which in Entity identification is heavily major-languages skewed

Presenter

Ana-Marija Petric completed her Masters in Linguistics at the University of Oxford. She worked in the Netherlands for several years focusing on AI and machine learning in different industries. She has always been interested in Language and personal data, which perfectly aligns with her current position of Head of Research Legit Software – the company behind Data Privacy Manager, which was recognised both by Gartner and included in Forrester Wave.
She is passionate about access to compliance democratization and focuses in particular on personal data identification across different languages and different scripts.
When not working, she learns Chinese, travels, plays videogames, reads sci-fi books, and follows new advances in space exploration and astronomy.

Join us at the meetup!
When: 4.10.2022 (Tuesday), 18:00
Location: BIRD incubator, Ul. Franje Petračića 4, 10110, Zagreb
Duration: 45 min presentation + Q&A

The Meetup will be held live. Reserve your spot through the meetup platform.
After the presentation, you are invited to hang out with us (drinks and food powered by Legit Software).